Agomelatine is under clinical development by Alto Neuroscience and currently in Phase II for Major Depressive Disorder. According to GlobalData, Phase II drugs for Major Depressive Disorder have a 39% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how Agomelatine’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.
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GlobalData tracks drug-specific phase transition and likelihood of approval scores, in addition to indication benchmarks based off 18 years of historical drug development data. Attributes of the drug, company and its clinical trials play a fundamental role in drug-specific PTSR and likelihood of approval.
Agomelatine overview
Agomelatine (ALTO-300) is under development for the treatment of major depressive disorder (MDD). It is administered through oral route. It acts by targeting MT1, MT2 and 5-HT2C.
It was also under development for post-traumatic stress disorder (PTSD).
Alto Neuroscience overview
Alto Neuroscience is a biopharmaceutical company that develops drugs for psychiatric and mental health conditions. It is investigating ALTO-100, ALTO-202, and ALTO-300 drugs for the treatment of major depressive disorder (MDD) and post-traumatic stress disorder (PTSD) by targeting cognition, emotion, and sleep systems. The company utilizes its AI-enabled drug development platform that identifies biomarkers by evaluating brain function measures to develop its product candidates. It serves throughout the US. Alto Neuroscience is headquartered in Los Altos, California, the US.
For a complete picture of Agomelatine’s drug-specific PTSR and LoA scores, buy the report here.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Likelihood of Approval analytics tool dynamically assesses and predicts how likely a drug will move to the next stage in clinical development (PTSR), as well as how likely the drug will be approved (LoA). This is based on a combination of machine learning and a proprietary algorithm to process data points from various databases found on GlobalData’s Pharmaceutical Intelligence Center.
